A new approach of color quantization based on ant colony clustering algorithm

被引:0
|
作者
Hu, XR [1 ]
Wang, TZ [1 ]
Li, DH [1 ]
机构
[1] Huazhong Univ Sci & Technol, Inst Pattern Recognit & Artificial Intelligence, State Educ Commiss Lab Image Proc & Intelligence, Wuhan 430074, Peoples R China
来源
ITCC 2005: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: CODING AND COMPUTING, VOL 1 | 2005年
关键词
ant colony algorithm; color image; color clustering; color quantization; picking up-dropping;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Color quantization is wildly exploited for many applications especially in the fields of computer graphics and image processing. After studying the approaches of color clustering, a new approach based on ant colony clustering algorithm applied in color image quantization is proposed in the paper. According to the picking up-dropping theory, a promoted ant algorithm is applied to group colors into certain clusters in RGB space. It finishes color quantization after colors mapping of every pixel. Our experiment shows that the algorithm proposed in this paper has rather good performance with an excellent robustness, a less time consumption, and a simple realization.
引用
收藏
页码:102 / 108
页数:7
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